Faults detection, location, and classification of the elements in the power system using intelligent algorithm

This study proposes an intelligent protection relay design that uses artificial neural networks to secure electrical parts in power infrastructure from different faults. Electrical transformer and transmission lines are protected using differential distance relay, respectively. Faults categorized, their locations pinpointed three-phase current values zero-current characteristics differentiate between non-earth ground The optimal aspects of the network were chosen for results with least possible error. Levenberg-Marquardt was established as ideal training technique suggested system comprising relay. proposed framework consisting Fault detection categorization performed 20 50 hidden layers, corresponding error rates 9.9873e-3 1.1953e-29. In context fault by layer neuron counts 400, 250, 300 detection, categorization, location; 7.8761e-2, 1.2063e-6, 1.1616e-26,